Main results
Comparisons of N170 amplitudes for (intact) faces with different durations and high confidence (left hemisphere):
contra_high_N170 <- contrast(emmeans(lmm.opt.N170.high.E205, ~ DuraBlock | Hemisphere + Category), #
"pairwise", adjust = "Bonferroni", infer = TRUE)
# left hemisphere
contra_high_N170[1:3]
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left face 0.6015598 0.1514381 18306.67 0.2389867 0.9641330 3.972 0.0002
## 17_1 - 200_2 Left face 0.5576724 0.1272494 17686.68 0.2530109 0.8623339 4.383 <.0001
## 17_2 - 200_2 Left face -0.0438874 0.1636515 18181.18 -0.4357021 0.3479273 -0.268 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
summary(contra_high_N170[1:3], delta = delta_null, level = .9)
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left face 0.6015598 0.1514381 18306.67 0.2792683 0.9238514 0.671 1.0000
## 17_1 - 200_2 Left face 0.5576724 0.1272494 17686.68 0.2868588 0.8284861 0.453 1.0000
## 17_2 - 200_2 Left face -0.0438874 0.1636515 18181.18 -0.3921718 0.3043969 -2.787 0.0080
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.9
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of equivalence with a threshold of 0.5
## P values are left-tailed
summary(contra_high_N170[1:3], delta = delta_null, side = ">")
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left face 0.6015598 0.1514381 18306.67 0.2792683 Inf 7.274 <.0001
## 17_1 - 200_2 Left face 0.5576724 0.1272494 17686.68 0.2868588 Inf 8.312 <.0001
## 17_2 - 200_2 Left face -0.0438874 0.1636515 18181.18 -0.3921718 Inf 2.787 0.0080
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of noninferiority with a threshold of 0.5
## P values are right-tailed
summary(contra_high_N170[1:3], delta = delta_null, side = "<")
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left face 0.6015598 0.1514381 18306.67 -Inf 0.9238514 0.671 1.0000
## 17_1 - 200_2 Left face 0.5576724 0.1272494 17686.68 -Inf 0.8284861 0.453 1.0000
## 17_2 - 200_2 Left face -0.0438874 0.1636515 18181.18 -Inf 0.3043969 -3.323 0.0013
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of nonsuperiority with a threshold of 0.5
## P values are left-tailed
Comparisons of N170 amplitudes for (intact) faces with different durations and high confidence (right hemisphere):
# right hemisphere
contra_high_N170[4:6]
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Right face 0.9982659 0.1514036 18303.96 0.6357754 1.3607564 6.593 <.0001
## 17_1 - 200_2 Right face 0.9114827 0.1270620 17334.05 0.6072693 1.2156961 7.174 <.0001
## 17_2 - 200_2 Right face -0.0867832 0.1635189 18079.17 -0.4782807 0.3047143 -0.531 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
summary(contra_high_N170[4:6], delta = delta_null, level = .9)
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Right face 0.9982659 0.1514036 18303.96 0.6760478 1.3204839 3.291 1.0000
## 17_1 - 200_2 Right face 0.9114827 0.1270620 17334.05 0.6410674 1.1818979 3.238 1.0000
## 17_2 - 200_2 Right face -0.0867832 0.1635189 18079.17 -0.4347855 0.2612191 -2.527 0.0173
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.9
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of equivalence with a threshold of 0.5
## P values are left-tailed
summary(contra_high_N170[4:6], delta = delta_null, side = ">")
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Right face 0.9982659 0.1514036 18303.96 0.6760478 Inf 9.896 <.0001
## 17_1 - 200_2 Right face 0.9114827 0.1270620 17334.05 0.6410674 Inf 11.109 <.0001
## 17_2 - 200_2 Right face -0.0867832 0.1635189 18079.17 -0.4347855 Inf 2.527 0.0173
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of noninferiority with a threshold of 0.5
## P values are right-tailed
summary(contra_high_N170[4:6], delta = delta_null, side = "<")
## contrast Hemisphere Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Right face 0.9982659 0.1514036 18303.96 -Inf 1.3204839 3.291 1.0000
## 17_1 - 200_2 Right face 0.9114827 0.1270620 17334.05 -Inf 1.1818979 3.238 1.0000
## 17_2 - 200_2 Right face -0.0867832 0.1635189 18079.17 -Inf 0.2612191 -3.588 0.0005
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of nonsuperiority with a threshold of 0.5
## P values are left-tailed
Comparisons of N170 amplitude lateralization for (intact) faces with different durations and high confidence:
contra_high_N170_hemi <- contrast(emmeans(lmm.opt.N170.high.E205, ~ DuraBlock + Hemisphere | Category), #
interaction = "pairwise", adjust = "Bonferroni", infer = TRUE)
contra_high_N170_hemi[1:3]
## DuraBlock_pairwise Hemisphere_pairwise Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left - Right face -0.3967060 0.2140373 18283.98 -0.9091541 0.1157421 -1.853 0.1915
## 17_1 - 200_2 Left - Right face -0.3538102 0.1794494 16921.73 -0.7834513 0.0758308 -1.972 0.1460
## 17_2 - 200_2 Left - Right face 0.0428958 0.2310594 17949.51 -0.5103077 0.5960992 0.186 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
summary(contra_high_N170_hemi[1:3], delta = delta_null, level = .9)
## DuraBlock_pairwise Hemisphere_pairwise Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left - Right face -0.3967060 0.2140373 18283.98 -0.8522215 0.0588094 -0.483 0.9441
## 17_1 - 200_2 Left - Right face -0.3538102 0.1794494 16921.73 -0.7357179 0.0280975 -0.815 0.6229
## 17_2 - 200_2 Left - Right face 0.0428958 0.2310594 17949.51 -0.4488470 0.5346386 -1.978 0.0719
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.9
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of equivalence with a threshold of 0.5
## P values are left-tailed
summary(contra_high_N170_hemi[1:3], delta = delta_null, side = ">")
## DuraBlock_pairwise Hemisphere_pairwise Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left - Right face -0.3967060 0.2140373 18283.98 -0.8522215 Inf 0.483 0.9441
## 17_1 - 200_2 Left - Right face -0.3538102 0.1794494 16921.73 -0.7357179 Inf 0.815 0.6229
## 17_2 - 200_2 Left - Right face 0.0428958 0.2310594 17949.51 -0.4488470 Inf 2.350 0.0282
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of noninferiority with a threshold of 0.5
## P values are right-tailed
summary(contra_high_N170_hemi[1:3], delta = delta_null, side = "<")
## DuraBlock_pairwise Hemisphere_pairwise Category estimate SE df lower.CL upper.CL t.ratio p.value
## 17_1 - 17_2 Left - Right face -0.3967060 0.2140373 18283.98 -Inf 0.0588094 -4.189 <.0001
## 17_1 - 200_2 Left - Right face -0.3538102 0.1794494 16921.73 -Inf 0.0280975 -4.758 <.0001
## 17_2 - 200_2 Left - Right face 0.0428958 0.2310594 17949.51 -Inf 0.5346386 -1.978 0.0719
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of nonsuperiority with a threshold of 0.5
## P values are left-tailed
Comparisons of face-specific N170 amplitude components for (intact) faces with different durations and high confidence (left hemisphere):
contra_high_N170_spec <- contrast(emmeans(lmm.opt.N170.high.E205, ~ Category + DuraBlock | Hemisphere), #
interaction = "pairwise", adjust = "Bonferroni", infer = TRUE)
contra_high_N170_spec[1:3]
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left -0.3448969 0.2869752 18209.03 -1.0319733 0.3421795 -1.202 0.6883
## face - house 17_1 - 200_2 Left 1.5555782 0.2363195 7112.00 0.9897001 2.1214563 6.583 <.0001
## face - house 17_2 - 200_2 Left 1.9004751 0.2846656 13731.61 1.2189079 2.5820424 6.676 <.0001
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
summary(contra_high_N170_spec[1:3], delta = delta_null, level = .9)
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left -0.3448969 0.2869752 18209.03 -0.9556395 0.2658457 -0.540 0.8833
## face - house 17_1 - 200_2 Left 1.5555782 0.2363195 7112.00 1.0525818 2.0585746 4.467 1.0000
## face - house 17_2 - 200_2 Left 1.9004751 0.2846656 13731.61 1.2946329 2.5063174 4.920 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.9
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of equivalence with a threshold of 0.5
## P values are left-tailed
summary(contra_high_N170_spec[1:3], delta = delta_null, side = ">")
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left -0.3448969 0.2869752 18209.03 -0.9556395 Inf 0.540 0.8833
## face - house 17_1 - 200_2 Left 1.5555782 0.2363195 7112.00 1.0525818 Inf 8.698 <.0001
## face - house 17_2 - 200_2 Left 1.9004751 0.2846656 13731.61 1.2946329 Inf 8.433 <.0001
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of noninferiority with a threshold of 0.5
## P values are right-tailed
summary(contra_high_N170_spec[1:3], delta = delta_null, side = "<")
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left -0.3448969 0.2869752 18209.03 -Inf 0.2658457 -2.944 0.0049
## face - house 17_1 - 200_2 Left 1.5555782 0.2363195 7112.00 -Inf 2.0585746 4.467 1.0000
## face - house 17_2 - 200_2 Left 1.9004751 0.2846656 13731.61 -Inf 2.5063174 4.920 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of nonsuperiority with a threshold of 0.5
## P values are left-tailed
Comparisons of face-specific N170 amplitude components for (intact) faces with different durations and high confidence (right hemisphere):
# right
contra_high_N170_spec[4:6]
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Right 0.0542572 0.2862422 17571.01 -0.6310664 0.7395809 0.190 1.0000
## face - house 17_1 - 200_2 Right 1.9700598 0.2297485 2326.23 1.4196483 2.5204714 8.575 <.0001
## face - house 17_2 - 200_2 Right 1.9158026 0.2809292 7615.60 1.2431151 2.5884901 6.820 <.0001
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
summary(contra_high_N170_spec[4:6], delta = delta_null, level = .9)
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Right 0.0542572 0.2862422 17571.01 -0.554927 0.6634415 -1.557 0.1792
## face - house 17_1 - 200_2 Right 1.9700598 0.2297485 2326.23 1.480854 2.4592658 6.399 1.0000
## face - house 17_2 - 200_2 Right 1.9158026 0.2809292 7615.60 1.317864 2.5137412 5.040 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.9
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of equivalence with a threshold of 0.5
## P values are left-tailed
summary(contra_high_N170_spec[4:6], delta = delta_null, side = ">")
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Right 0.0542572 0.2862422 17571.01 -0.554927 Inf 1.936 0.0793
## face - house 17_1 - 200_2 Right 1.9700598 0.2297485 2326.23 1.480854 Inf 10.751 <.0001
## face - house 17_2 - 200_2 Right 1.9158026 0.2809292 7615.60 1.317864 Inf 8.599 <.0001
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of noninferiority with a threshold of 0.5
## P values are right-tailed
summary(contra_high_N170_spec[4:6], delta = delta_null, side = "<")
## Category_pairwise DuraBlock_pairwise Hemisphere estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Right 0.0542572 0.2862422 17571.01 -Inf 0.6634415 -1.557 0.1792
## face - house 17_1 - 200_2 Right 1.9700598 0.2297485 2326.23 -Inf 2.4592658 6.399 1.0000
## face - house 17_2 - 200_2 Right 1.9158026 0.2809292 7615.60 -Inf 2.5137412 5.040 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of nonsuperiority with a threshold of 0.5
## P values are left-tailed
Comparisons of face-specific N170 amplitude component lateralization for (intact) faces with different durations and high confidence:
contra_high_N170_spec_hemi <- contrast(emmeans(lmm.opt.N170.high.E205, ~ Category + DuraBlock + Hemisphere), #
interaction = "pairwise", adjust = "Bonferroni", infer = TRUE)
contra_high_N170_spec_hemi
## Category_pairwise DuraBlock_pairwise Hemisphere_pairwise estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left - Right -0.3991541 0.4044924 17388.02 -1.3675945 0.5692862 -0.987 0.9713
## face - house 17_1 - 200_2 Left - Right -0.4144816 0.3231755 2014.65 -1.1888040 0.3598408 -1.283 0.5994
## face - house 17_2 - 200_2 Left - Right -0.0153275 0.3961737 6959.66 -0.9639887 0.9333338 -0.039 1.0000
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
summary(contra_high_N170_spec_hemi, delta = delta_null, level = .9)
## Category_pairwise DuraBlock_pairwise Hemisphere_pairwise estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left - Right -0.3991541 0.4044924 17388.02 -1.2600007 0.4616924 -0.249 1.0000
## face - house 17_1 - 200_2 Left - Right -0.4144816 0.3231755 2014.65 -1.1026859 0.2737226 -0.265 1.0000
## face - house 17_2 - 200_2 Left - Right -0.0153275 0.3961737 6959.66 -0.8585705 0.8279156 -1.223 0.3318
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.9
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of equivalence with a threshold of 0.5
## P values are left-tailed
summary(contra_high_N170_spec_hemi, delta = delta_null, side = ">")
## Category_pairwise DuraBlock_pairwise Hemisphere_pairwise estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left - Right -0.3991541 0.4044924 17388.02 -1.2600007 Inf 0.249 1.0000
## face - house 17_1 - 200_2 Left - Right -0.4144816 0.3231755 2014.65 -1.1026859 Inf 0.265 1.0000
## face - house 17_2 - 200_2 Left - Right -0.0153275 0.3961737 6959.66 -0.8585705 Inf 1.223 0.3318
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of noninferiority with a threshold of 0.5
## P values are right-tailed
summary(contra_high_N170_spec_hemi, delta = delta_null, side = "<")
## Category_pairwise DuraBlock_pairwise Hemisphere_pairwise estimate SE df lower.CL upper.CL t.ratio p.value
## face - house 17_1 - 17_2 Left - Right -0.3991541 0.4044924 17388.02 -Inf 0.4616924 -2.223 0.0394
## face - house 17_1 - 200_2 Left - Right -0.4144816 0.3231755 2014.65 -Inf 0.2737226 -2.830 0.0071
## face - house 17_2 - 200_2 Left - Right -0.0153275 0.3961737 6959.66 -Inf 0.8279156 -1.301 0.2901
##
## Degrees-of-freedom method: satterthwaite
## Confidence level used: 0.95
## Conf-level adjustment: bonferroni method for 3 estimates
## P value adjustment: bonferroni method for 3 tests
## Statistics are tests of nonsuperiority with a threshold of 0.5
## P values are left-tailed